an - business information management analyst i- tdjp00058275.

Our client, is seeking a high-caliber, data-driven AN - Business Information Management Analyst I to join their specialized Wholesale Banking Operations division.

Operating in the capacity of a Senior Data Analyst, you will play a critical role in advancing enterprise data quality, supporting strict regulatory programs, and driving scalable data architecture solutions across the global Party & Account Master platform. This role requires an analytical expert with exceptional stakeholder-influence skills, a proactive strategic mind, and a deep risk-and-control background. You will act as a key liaison to translate complex business requirements into actionable data logic, implementing modern automation frameworks to mitigate operational, regulatory, and reputational risk across large, multifaceted data structures.

Duration: 1-Year Contract (Possibility of extension and permanent conversion based on performance and business requirements)

Work Arrangement: Hybrid (3 days per week on-site at the corporate office, 2 days remote)

Advantages
Tier-1 Financial System Footprint: Manage master reference data assets governing thousands of active entity records for a market-leading global wholesale banking engine.

Modern Cloud & Analytics Toolset: Leverage cutting-edge analytics sandboxes including Databricks, Python automation frameworks, and Dremio SQL execution engines.

High-Visibility Influence: Act as a critical individual contributor leading data remediation streams and presenting data quality telemetry directly to senior stakeholders.

Long-Term Contract Continuity: Secure a stable 12-month contract with highly visible operational extensions and direct, long-term avenues for internal operational conversion.

Responsibilities
Data Remediation, Quality, and Control Frameworks
Complex Data Profiling: Lead complex data remediation and deep-dive analytical workflows across large, highly disparate structured and unstructured capital markets datasets to enforce rigid enterprise standards.

Data Quality Governance: Drive data quality improvements and control frameworks. Proactively identify data discrepancies, structural anomalies, and validation gaps to neutralize operational and regulatory risks.

Logic Translation: Translate sophisticated business rules into actionable, downstream data logic, ensuring seamless alignment between enterprise governance policies and real-world consumption needs.

Strategy, Automation, and Team Mentorship
Process Automation: Architect, code, and deploy lightweight automation scripts using Python and SQL to streamline data-cleansing pipelines, remove manual engineering friction, and boost control metrics.

Domain Subject Matter Expertise: Serve as the definitive Subject Matter Expert (SME) for Party & Account data domains, providing structural troubleshooting support and guiding the onboarding of new data consumers.

Stakeholder Advisory: Partner across distributed operations, engineering, and Chief Data Office (CDO) teams to advise on macro data strategy decisions, balancing capacity across concurrent project workstreams.

Performance Leadership: Produce executive dashboards, risk trends, and status readouts to inform senior steering committees. Mentor, train, and share industry best practices with junior data analysts to encourage a collaborative, high-performance culture.

Qualifications
Experience: 5+ years of progressive professional experience operating as a Senior Data Analyst, Data Governance Specialist, or Business Intelligence Engineer within a large enterprise or banking infrastructure.

Capital Markets Domain Acuity: Deep foundational understanding of Capital Markets and client/reference data domains, including complex corporate ownership hierarchies, legal entity profiling, and master data management principles.

Industry Data Source Literacy: Hands-on experience working directly with tier-1 enterprise institutional data repositories and reference indexes (e.g., Bloomberg, GLEIF / Global Legal Entity Identifier Foundation).

Advanced Technical Tool Stack: Expert-level mastery parsing large scale datasets using SQL (specifically inside Dremio architectures), Python, and Databricks, backed by advanced analytical processing in Microsoft Excel.

Project Execution & Soft Skills: Highly developed communication and storytelling skills, with an innate ability to articulate complex database or architectural dependencies into simplified business prose. A self-motivated self-starter showing deep ownership, strict time-management, and structural negotiation skills to influence matrixed business units without direct formal authority.

Nice-to-Have Skills & Assets
Practical, hands-on background operating within banking backend Operations environments.

Structured knowledge or experience managing tasks inside Agile, Scrum, or corporate Project Management frameworks.

Summary
If you are a tech-savvy Business Information Management Analyst who pairs an absolute command of SQL, Python, and Databricks with a deep grasp of Capital Markets reference data structures and regulatory risk control frameworks, this 1-year hybrid contract offers an incredible career platform. Bring your master data management experience, analytical depth, and proactive communication style to an industry-defining wholesale data squad today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to View email address on randstad.com to ensure their ability to fully participate in the interview process.

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